Reconditioning marine seismic data for interactive interpretation

1989 ◽  
Vol 20 (2) ◽  
pp. 245
Author(s):  
M.D. Carter ◽  
J.A. Kruppenbach ◽  
S.L. Mobley ◽  
R.H. Matthews ◽  
E. Lawrence
Keyword(s):  
Spatial Distribution ◽  
Seismic Data ◽  
Additional Data ◽  
Full Range ◽  
Cost Effective ◽  
Seismic Attributes ◽  
Historical Interpretation ◽  
Before And After ◽  
Conventional Methods ◽  
Marine Seismic

The historical interpretation approach is based upon time and amplitude. Using the modern interpretive workstation, the full range of the seismic attributes can be examined in varying color and spatial distribution. Examples of traditional seismic data displayed using conventional methods are shown before and after workstation manipulation, with striking results. The paper will also address procedures for the economical collection of additional data which will reinforce older available data, as well as planning cost effective acquisition of new data.

Inpainting of local wavefront attributes using artificial intelligence for enhancement of massive 3-D pre-stack seismic data

2020 ◽  
Vol 223 (3) ◽  
pp. 1888-1898
Author(s):  
Kirill Gadylshin ◽  
Ilya Silvestrov ◽  
Andrey Bakulin
Keyword(s):  
Artificial Intelligence ◽  
Seismic Data ◽  
Cost Effective ◽  
Computational Effort ◽  
Full Density ◽  
Ocean Bottom ◽  
Data Set ◽  
Marine Seismic ◽  
Missing Attributes

SUMMARY We propose an advanced version of non-linear beamforming assisted by artificial intelligence (NLBF-AI) that includes additional steps of encoding and interpolating of wavefront attributes using inpainting with deep neural network (DNN). Inpainting can efficiently and accurately fill the holes in waveform attributes caused by acquisition geometry gaps and data quality issues. Inpainting with DNN delivers excellent quality of interpolation with the negligible computational effort and performs particularly well for a challenging case of irregular holes where other interpolation methods struggle. Since conventional brute-force attribute estimation is very costly, we can further intentionally create additional holes or masks to restrict expensive conventional estimation to a smaller subvolume and obtain missing attributes with cost-effective inpainting. Using a marine seismic data set with ocean bottom nodes, we show that inpainting can reliably recover wavefront attributes even with masked areas reaching 50–75 per cent. We validate the quality of the results by comparing attributes and enhanced data from NLBF-AI and conventional NLBF using full-density data without decimation.

Identifying shallow gas zones by using seismic attributes, offshore Vietnam

2020 ◽  
Vol 8 (1) ◽  
pp. T67-T76
Author(s):  
Anh Thi Van Ngo ◽  
Angus John Ferguson
Keyword(s):  
Seismic Data ◽  
High Amplitude ◽  
Seismic Attributes ◽  
Offshore Drilling ◽  
Shallow Gas ◽  
Low Frequencies ◽  
Before And After ◽  
Well Log Analysis ◽  
Push Down ◽  
3D Seismic Data

Shallow gas zones are a major concern in offshore drilling because of their potential to quickly cause kicks or blowouts. Shallow gas hazards are identified by using a series of seismic attributes. We have combined seismic data analysis and well-log analysis to identify the location and distribution of shallow gas layers. These shallow gas zones are formed during a large influx of gas due to a blowout well. The blowout well is located in the Nam Con Son Basin, offshore Vietnam. The seismic data acquired before and after the blowout record the changes in the shallow gas location. We compare seismic data without gas effects to data affected by gas after the blowout. The changes of reflectors between 2D seismic data (preblowout well) and 3D seismic data (postblowout well) are analyzed by using seismic attributes. The shallow gas is recognized in seismic data based on several criteria such as the push-down effect that demonstrated the delay in traveltime throughout the slower zone, high amplitude with negative phase reflection at the top of shallow gas layers, and acoustic blanking from wave scattering and amplitude attenuation. Geobodies mapped are associated with shallow gas zones by merging seismic attributes to identify zones that are a combination of strong amplitudes and low frequencies. The attributes that identify known shallow gas anomalies are also applied to the entire seismic volume for identification of shallow gas hazards.

Formation geological depth image according to refraction and reflection marine seismic data

2017 ◽  
Vol 39 (6) ◽  
pp. 106-121
Author(s):  
A. O. Verpahovskaya ◽  
V. N. Pilipenko ◽  
Е. V. Pylypenko
Keyword(s):  
Seismic Data ◽  
Depth Image ◽  
Marine Seismic

PROCESSING AND IMAGING OF MARINE SEISMIC DATA FROM THE JEQUITINHONHA BASIN (BAHIA, BRAZIL)

2016 ◽  
Vol 33 (3) ◽  
Author(s):  
Lourenildo W.B. Leite ◽  
J. Mann ◽  
Wildney W.S. Vieira
Keyword(s):  
Seismic Data ◽  
Sedimentary Basins ◽  
Study Results ◽  
Marine Seismic ◽  
Present Case Study

ABSTRACT. The present case study results from a consistent processing and imaging of marine seismic data from a set collected over sedimentary basins of the East Brazilian Atlantic. Our general aim is... RESUMO. O presente artigo resulta de um processamento e imageamento consistentes de dados sísmicos marinhos de levantamento realizado em bacias sedimentares do Atlântico do Nordeste...

SOUTH GEORGIA MICROCONTINENT: CURRENT TECTONIC SETTING FROM GPS AND MARINE SEISMIC DATA

2019 ◽  
Author(s):  
Ian W.D. Dalziel ◽  
◽  
Robert Smalley ◽  
Lawrence A. Lawver ◽  
Demian Gomez ◽  
...  
Keyword(s):  
Seismic Data ◽  
Tectonic Setting ◽  
South Georgia ◽  
Marine Seismic

scholarly journals The Inverse Spacer—A Novel, Safe, and Cost-Effective Approach in Routine Procedures for Revision Knee Arthroplasty

2021 ◽  
Vol 10 (5) ◽  
pp. 971
Author(s):  
Kristoff Hammerich ◽  
Jens Pollack ◽  
Alexander F. Hasse ◽  
André El Saman ◽  
René Huber ◽  
...  
Keyword(s):  
Knee Arthroplasty ◽  
Clinical Success ◽  
Cost Effective ◽  
Revision Total Knee Arthroplasty ◽  
Rotational Stability ◽  
X Rays ◽  
Free Interval ◽  
Major Disadvantage ◽  
Cost Effective Approach ◽  
Before And After

Background: A major disadvantage of current spacers for two-stage revision total knee arthroplasty (R-TKA) is the risk of (sub-) luxation during mobilization in the prosthesis-free interval, limiting their clinical success with detrimental consequences for the patient. The present study introduces a novel inverse spacer, which prevents major complications, such as spacer (sub-) luxations and/or fractures of spacer or bone. Methods: The hand-made inverse spacer consisted of convex tibial and concave femoral components of polymethylmethacrylate bone cement and was intra-operatively molded under maximum longitudinal tension in 5° flexion and 5° valgus position. Both components were equipped with a stem for rotational stability. This spacer was implanted during an R-TKA in 110 knees with diagnosed or suspected periprosthetic infection. Postoperative therapy included a straight leg brace and physiotherapist-guided, crutch-supported mobilization with full sole contact. X-rays were taken before and after prosthesis removal and re-implantation. Results: None of the patients experienced (sub-) luxations/fractures of the spacer, periprosthetic fractures, or soft tissue compromise requiring reoperation. All patients were successfully re-implanted after a prosthesis-free interval of 8 weeks, except for three patients requiring an early exchange of the spacer due to persisting infection. In these cases, the prosthetic-free interval was prolonged for one week. Conclusion: The inverse spacer in conjunction with our routine procedure is a safe and cost-effective alternative to other articulating or static spacers, and allows crutch-supported sole contact mobilization without major post-operative complications. Maximum longitudinal intra-operative tension in 5° flexion and 5° valgus position appears crucial for the success of surgery.

scholarly journals 400 - Effects of Computerized Cognitive Training with an Elderly Community Sample

2020 ◽  
Vol 32 (S1) ◽  
pp. 116-116
Author(s):  
M Pires ◽  
A Antunes ◽  
C Gameiro ◽  
C Pombo
Keyword(s):  
Older Adults ◽  
Cognitive Training ◽  
New Technologies ◽  
Community Sample ◽  
Cost Effective ◽  
Well Being ◽  
Control Group ◽  
Depression Symptoms ◽  
Intensive Training ◽  
Before And After

Community-focused programs that promote active and healthy aging can help preserve cognitive capacities, prevent or reverse cognitive deficits. Computer-based cognitive training (CCT) is a promising non-pharmacological, cost -effective and accessible intervention to face the effects of age-related cognitive decline. Previous studies proved CCT to have equal or better efficacy compared to traditional interventions. This comparative multifactorial study aims to test the efficacy of a CCT in a non-randomized community sample of 74 older adults: G1-CCT Experimental group (n=43) (Mean age M=72.21, SD=12.65) and G2- Paper-Pencil Control group (n=31; M=77.94, SD=10.51). Pensioners (97.3%), mostly women (83.8 %) with basic education (51.4%) and without dementia diagnosis, completed a cognitive training program of 17 or 34 group sessions (twice a week). G2 undertook a classic cognitive paper-pencil stimuli tasks. G1, performed, additionally, individual CCT with COGWEB® in a multimodal format (intensive training of attention, calculation, memory, gnosis, praxis, executive functions). Both groups completed Portuguese versions of Mini -Mental State Examination (MMSE),Montreal Cognitive Assessment (MOCA); Geriatric Depressive Scale (GDS); Mini Dependence Assessment (MDA); WHOOQL 5 and Social Support Satisfaction Scale (ESSS) before and after participating in the program. Both groups reported better post-test scores on basic cognitive functions (MMSE, MOCA), Depression symptoms (GDS-30), subjective well-being and quality of life (WHOOQL-5). G1 presented higher MOCA and lower GDS scores before and after CCT, although, group differences become less expressive when interaction effects are considered. Results are in line with findings from past studies, CCT supported by the new technologies, is as a relevant cost-effective therapeutic tool for health professionals working with older adults. Particularly for preventive purposes of neuro-cognitive disorders.

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